OFDM_4QAM

Hybrid GA & PSO Algorithm Run the file MainHGAPSO

matlab program usin particle swarm optimisation method for anaylysing the convergence techniques

结合PCA的尺度不变特征变换(SIFT)算法源代码，可用于图像目标检测和识别。(combine PCA scale-invariant feature transformation (metabolism) algorithm source code, images can be used to target detection and identification.)

matlab编程，关于相位同步的实现范例。(matlab programming examples on phase synchronization.)

matlab-arima的具体编程，效果较好(matlab-arima Specific programming, the effect is better)

用一个双极性基带数据信号对载波进行角度调制产生BPSK信号s(t)=10cos[wct+Dpm(t)]。(With a bipolar baseband data signal generated BPSK modulated carrier signal point s (t) = 10cos [wct+ Dpm (t)].)

打靶法解薛定谔方程利用matlab软件，采用打靶法结合Numerov算法进行求解定态薛定谔方程的本征值和本征方程。在位势为不同的抛物势时，都能求解出符合精度要求的本征值和本征方程。(Shooting method to solve the Schrodinger equation using matlab software, using the shooting method combined Numerov algorithm to solve the steady-state Schrodinger equation eigenvalues ​ ​ and eigen equation. Reign potential for different parabolic potential, the solution can meet the accuracy requirements of the eigenvalues ​ ​ and eigen equation.)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

histograma de una imagen

无线网络节点的部署，还是又障碍物版的，可以方便您编程，节省时间(Deployment of wireless network nodes, or another version of the obstacles can be programmed for your convenience and save time)